Courses offered spring term 2020
Notice that due to the spread of the corona virus and the consequent lockdown of the university, many lectures will be done via electronic tools. Below are links to the corresponding pages, mostly using the OPAL system. In some cases, you have to register to these lectures within OPAL (beware that some pages may be displayed in German despite the fact that the teaching material will be in English).
- Advanced topics in functional analysis (Prof. Thomas Kalmes)
- A mathematical introduction to learning theory (Prof. Tino Ullrich)
- Advanced topics in graph theory (Dr. Frank Göring)
- Analysis of Partial Differential Equations (Prof. Peter Stollmann)
- Fourier Analysis (Prof. Daniel Potts)
- Hyperbolic Geometry (JProf. Ariyan Javanpeykar)
- Introduction to Scientific Computing with Python (Prof. Martin Stoll)
- Mathematical Foundations of BIG DATA Analytics (Prof. Vladimir Shikhman)
- Mathematical Methods of Uncertainty Quantification (Prof. Oliver Ernst)
- Optimal Transport and Data Science (Prof. Jan-Frederik Pietschmann)
- Optimization on Manifolds (Prof. Roland Herzog)
- Optimization in Machine Learning (Prof. Roland Herzog)
- Quantitative Finance (Prof. Alois Pichler)
- Seminar: Partial differential equation models in biology and socioeconomics (Prof. Jan-Frederik Pietschmann)
- Singularity Theory (Prof. Christian Sevenheck)
- Stochastic Processes (Prof. Uta Freiberg)